Download slt.py python script (supports multiple build) from this repository.
python slt.py <"sublime_text file path">
Download slt.py python script (supports multiple build) from this repository.
python slt.py <"sublime_text file path">
import requests | |
import time | |
from urllib.parse import urlparse | |
PASSWORD = "tiramisu" | |
s = requests.Session() | |
def get_parsed_login_url(test_url="http://1.1.1.1"): | |
''' test_url is a random url used to redirect to the login page ''' | |
res = s.get(test_url) |
import concurrent.futures | |
import requests | |
import string | |
import urllib.parse | |
session = requests.Session() | |
url = f"http://localhost/" | |
headers = { | |
"Content-Type": "application/x-www-form-urlencoded" | |
} |